Master-thesis in Neural Networks for Aerodynamic

vor 1 Woche

Manching, Deutschland Airbus Defence and Space GmbH Vollzeit

In order to support the Aerodynamic Dataset team, Airbus Defence and Space is looking for a

**Master-Thesis in Neural Networks for Aerodynamic Modeling within Flight Physics, Aerodynamic Dataset Team (d/f/m)**:

- Location: Manching
- Start: 01.02.2025
- Duration: 6-12 months

You will be part of the “Aerodynamic Dataset and SR&J Team”, within the Aerodynamic department in Flight Physics. The team has the responsibility to generate and update aerodynamic models/representations of all Airbus combat aircraft in development and in operation based on both experimental and numerical data. Purpose of our work is to build the basis (i.e. the aerodynamic dataset model) for proper flight clearances, flight control law designs, performance and load estimations as well as aerodynamic design upgrades.

**Topic**:
We are currently investigating new and innovative machine learning approaches for generating an aerodynamic dataset for combat aircraft. Therefore, the thesis will include the following tasks:

- Understanding the aerodynamic characteristics that are key for a combat aircraft
- Development of machine learning methods for aerodynamic dataset generation
- Application of developed machine learning models to large combat aircraft datasets capturing the whole flight envelope
- Contribution to the introduction of a new and more efficient digital way of working

**Your location**:
Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

**Your benefits**:

- Attractive salary and work-life balance with a 35-hour week (flexitime).
- International environment with the opportunity to network globally.
- Work with modern/diversified technologies.
- At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
- Opportunity to participate in the Generation Airbus Community to expand your own network.

**Your tasks and responsibilities**:

- Student in Aerospace Engineering with affinity for programming or student in Information Technology with affinity for Aerospace.
- Advanced programming skills in Python (pyTorch, Numpy).
- Basic understanding of aerodynamics is a plus.
- Affinity to combat aircraft is a plus.

**Desired skills and qualifications**:

- Enrolled full time student (d/f/m) within Information Technology, Aerospace Engineering, Aerodynamics or similar field of study.
- Knowledge with Machine Learning.
- Good skills with Python.
- Affinity to combat aircraft is a plus.
- Skills:

- Autonomous work style
- Curious to try new things
- Fast learner
- Language: Fluent in either German or English.

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.

Not a 100% match? No worries Airbus supports your personal growth.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

**Company**:
Airbus Defence and Space GmbH

**Employment Type**:
Final-year Thesis**Experience Level**:
Student

**Job Family**:
Support to Management

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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